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Can I read Multi-granularity Deep Vulnerability Detection Using Graph Neural Networks on EtoBox?
Multi-granularity Deep Vulnerability Detection Using Graph Neural Networks by Tengxiao Yang; Song Lian; Qiong Jia; Chengyu Hu; Shanqing Guo is a computer science book available to read on EtoBox.
What is Multi-granularity Deep Vulnerability Detection Using Graph Neural Networks about?
The nine-volume set constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 1274 papers presented in the proceedings set were carefully reviewed and selected from 652 submissions. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields
Who reads Multi-granularity Deep Vulnerability Detection Using Graph Neural Networks?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Tengxiao Yang; Song Lian; Qiong Jia; Chengyu Hu; Shanqing Guo
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2023
- Language
- EN
- ISBN
- 9789819981830
- Category
- computer science
- Subjects
- Management, Science, Mathematics
- Updated
- 2026-03-25
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